TA Website of Math 281A, Fall 2019
Math 281: Mathematical Statistics is a qualifying course for statistics graduate students. It offers an introduction to asymptotic analysis in the classical literature and non-asymptotic analysis which guarantees finite sample performance. More information can be found in the syllabus.
- 2:00 - 3:20 pm, Tu & Th, APM 5402.
- Lecture notes will be uploaded to TritonEd every week.
- Wenxin Zhou
- Email: firstname.lastname@example.org
- Office: APM 6131
- Office hour: 1:00 - 2:00 pm, Tu & Th
- Xiaoou Pan
- Email: email@example.com
- Office: APM 1121
- Office hour: 5:00 - 7:00 pm, Wed
- Dec 12 (Thursday), 3:00 - 6:00 pm, APM 5402.
- Open book, but cellphone, tablet or any electronic devices are not allowed.
- Topics: stochastic convergence, multivariate normal distribution, delta method, variance-stabilizing transformation, M-estimator/maximum likelihood estimator (identifiability, consistency, asymptotic normality) and nonparametric kernel smoothing.
- Final. Solutions
- Academic integrity at UCSD
- A link to past qualifying exams
- A page made by Professor Jason Schweinsberg about graduate programs and careers